On H∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link
This paper investigates the fixed-lag fault estimator design for linear discrete time-varying (LDTV) systems with intermittent measurements, which is described by a Bernoulli distributed random variable. Through constructing a novel partially equivalent dynamic system, the fault estimator design is...
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sg-ntu-dr.10356-1043202020-03-07T14:00:38Z On H∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link Li, Yueyang Liu, Shuai Wang, Zhonghua Yan, Xuehua School of Electrical and Electronic Engineering This paper investigates the fixed-lag fault estimator design for linear discrete time-varying (LDTV) systems with intermittent measurements, which is described by a Bernoulli distributed random variable. Through constructing a novel partially equivalent dynamic system, the fault estimator design is converted into a deterministic quadratic minimization problem. By applying the innovation reorganization technique and the projection formula in Krein space, a necessary and sufficient condition is obtained for the existence of the estimator. The parameter matrices of the estimator are derived by recursively solving two standard Riccati equations. An illustrative example is provided to show the effectiveness and applicability of the proposed algorithm. Published version 2015-10-21T06:44:16Z 2019-12-06T21:30:19Z 2015-10-21T06:44:16Z 2019-12-06T21:30:19Z 2014 2014 Journal Article Li, Y., Liu, S., Wang, Z., & Yan, X. (2014). On H ∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link . Mathematical Problems in Engineering, 2014, 358601-. https://hdl.handle.net/10356/104320 http://hdl.handle.net/10220/38821 10.1155/2014/358601 en Mathematical Problems in Engineering © 2014 Yueyang Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf |
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This paper investigates the fixed-lag fault estimator design for linear discrete time-varying (LDTV) systems with intermittent measurements, which is described by a Bernoulli distributed random variable. Through constructing a novel partially equivalent dynamic system, the fault estimator design is converted into a deterministic quadratic minimization problem. By applying the innovation reorganization technique and the projection formula in Krein space, a necessary and sufficient condition is obtained for the existence of the estimator. The parameter matrices of the estimator are derived by recursively solving two standard Riccati equations. An illustrative example is provided to show the effectiveness and applicability of the proposed algorithm. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Li, Yueyang Liu, Shuai Wang, Zhonghua Yan, Xuehua |
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Li, Yueyang Liu, Shuai Wang, Zhonghua Yan, Xuehua |
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Li, Yueyang Liu, Shuai Wang, Zhonghua Yan, Xuehua On H∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link |
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Li, Yueyang |
title |
On H∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link |
title_short |
On H∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link |
title_full |
On H∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link |
title_fullStr |
On H∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link |
title_full_unstemmed |
On H∞ Fault Estimator Design for Linear Discrete Time-Varying Systems under Unreliable Communication Link |
title_sort |
on h∞ fault estimator design for linear discrete time-varying systems under unreliable communication link |
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2015 |
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https://hdl.handle.net/10356/104320 http://hdl.handle.net/10220/38821 |
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1681046628551622656 |